TY - JOUR
T1 - Magnitude and factors associated with nonadherence to antiepileptic drug treatment in Africa
T2 - A cross-sectional multisite study
AU - the SEEDS writing group
AU - Ibinda, Fredrick
AU - Odermatt, Peter
AU - Kariuki, Symon M.
AU - Kakooza-Mwesige, Angelina
AU - Wagner, Ryan G.
AU - Owusu-Agyei, Seth
AU - Masanja, Honorati
AU - Ngugi, Anthony K.
AU - Mbuba, Caroline K.
AU - Doku, Victor C.K.
AU - Neville, Brian G.
AU - Sander, Josemir W.
AU - Newton, Charles R.J.C.
AU - Twine, Rhian
AU - Connor, Myles
AU - Gómez Olivé, F. Xavier
AU - Collinson, Mark
AU - Kahn, Kathleen
AU - Tollman, Stephen
AU - Mathew, Alexander
AU - Pariyo, George
AU - Peterson, Stefan
AU - Ndyomughenyi, Donald
AU - Odhiambo, Rachael
AU - Chengo, Eddie
AU - Chabi, Martin
AU - Bauni, Evasius
AU - Kamuyu, Gathoni
AU - Mung'ala Odera, Victor
AU - Mageto, James O.
AU - Ae-Ngibise, Ken
AU - Akpalu, Bright
AU - Akpalu, Albert
AU - Agbokey, Francis
AU - Adjei, Patrick
AU - Bottomley, Christian
AU - Kleinschmidt, Immo
AU - White, Steve
AU - Nutman, Thomas
AU - Wilkins, Patricia
AU - Noh, John
N1 - Publisher Copyright:
© 2017 The Authors. Epilepsia Open published by Wiley Periodicals Inc. on behalf of International League Against Epilepsy.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - Objectives: The epilepsy treatment gap is large in low- and middle-income countries, but the reasons behind nonadherence to treatment with antiepileptic drugs (AEDs) across African countries remain unclear. We investigated the extent to which AEDs are not taken and associated factors in people with active convulsive epilepsy (ACE) identified in cross-sectional studies conducted in five African countries. Methods: We approached 2,192 people with a confirmed diagnosis of ACE for consent to give blood voluntarily. Participants were asked if they were taking AEDs, and plasma drug concentrations were measured using a fluorescence polarization immunoassay analyzer. Information about possible risk factors was collected using questionnaire-based clinical interviews. We determined factors associated with nonadherence to AED treatment in children and adults, as measured by detectable and optimal levels, using multilevel logistic regression. Results: In 1,303 samples assayed (43.7% were children), AEDs were detected in 482, but only 287 had optimal levels. Of the 1,303 samples, 532 (40.8%) were from people who had reported they were on AEDs. The overall prevalence of nonadherence to treatment was 63.1% (95% confidence interval [CI] 60.5–65.6%) as measured by detectable AED levels and 79.1% (95% CI 73.3–84.3%) as measured by optimal AED levels; self-reported nonadherence was 65.1% (95% CI 45.0–79.5%). Nonadherence was significantly (p < 0.001) more common among the children than among adults for optimal and detectable levels of AEDs, as was the self-reported nonadherence. In children, lack of previous hospitalization and learning difficulties were independently associated with nonadherence to treatment. In adults, history of delivery at home, absence of burn marks, and not seeking traditional medicine were independently associated with the nonadherence to AED treatment. Significance: Only about 20% of people with epilepsy benefit fully from antiepileptic drugs in sub-Saharan Africa, according to optimum AEDs levels. Children taking AEDs should be supervised to promote compliance.
AB - Objectives: The epilepsy treatment gap is large in low- and middle-income countries, but the reasons behind nonadherence to treatment with antiepileptic drugs (AEDs) across African countries remain unclear. We investigated the extent to which AEDs are not taken and associated factors in people with active convulsive epilepsy (ACE) identified in cross-sectional studies conducted in five African countries. Methods: We approached 2,192 people with a confirmed diagnosis of ACE for consent to give blood voluntarily. Participants were asked if they were taking AEDs, and plasma drug concentrations were measured using a fluorescence polarization immunoassay analyzer. Information about possible risk factors was collected using questionnaire-based clinical interviews. We determined factors associated with nonadherence to AED treatment in children and adults, as measured by detectable and optimal levels, using multilevel logistic regression. Results: In 1,303 samples assayed (43.7% were children), AEDs were detected in 482, but only 287 had optimal levels. Of the 1,303 samples, 532 (40.8%) were from people who had reported they were on AEDs. The overall prevalence of nonadherence to treatment was 63.1% (95% confidence interval [CI] 60.5–65.6%) as measured by detectable AED levels and 79.1% (95% CI 73.3–84.3%) as measured by optimal AED levels; self-reported nonadherence was 65.1% (95% CI 45.0–79.5%). Nonadherence was significantly (p < 0.001) more common among the children than among adults for optimal and detectable levels of AEDs, as was the self-reported nonadherence. In children, lack of previous hospitalization and learning difficulties were independently associated with nonadherence to treatment. In adults, history of delivery at home, absence of burn marks, and not seeking traditional medicine were independently associated with the nonadherence to AED treatment. Significance: Only about 20% of people with epilepsy benefit fully from antiepileptic drugs in sub-Saharan Africa, according to optimum AEDs levels. Children taking AEDs should be supervised to promote compliance.
KW - Adherence
KW - Antiepileptic drugs
KW - Epilepsy
KW - Treatment gap
KW - sub-Saharan Africa
UR - http://www.scopus.com/inward/record.url?scp=85054003730&partnerID=8YFLogxK
U2 - 10.1002/epi4.12052
DO - 10.1002/epi4.12052
M3 - Article
AN - SCOPUS:85054003730
SN - 2470-9239
VL - 2
SP - 226
EP - 235
JO - Epilepsia Open
JF - Epilepsia Open
IS - 2
ER -